private void btnTestSpearman_Click(object sender, EventArgs e)
{
var res = RandomExcerptChecker.TestSpearmanMethod(
(new TimeSeries(TimeSeriesEnvironment.Current.TimeSeries, false)).Excerpt);
lblSpearmanStat.Text = string.Format("|{0:0.0000}|", res.Statistics);
lblSpearmanQuantile.Text = res.Quantile.ToString("0.0000");
if (res.IsRandom)
{
lblSpearmanComp.Text = "≤";
lblSpearmanTest.Text = "Time series is random.";
}
else
{
lblSpearmanComp.Text = ">";
if (res.Statistics < 0)
{
lblSpearmanTest.Text = "Time series has decreasing trend.";
}
else
{
lblSpearmanTest.Text = "Time series has increasing trend.";
}
}
pnlSpearmanTest.Visible = true;
}
private void btnShowCorrelogram_Click(object sender, EventArgs e)
{
var ts = new TimeSeries(TimeSeriesEnvironment.Current.TimeSeries, false);
int k;
if (!int.TryParse(txtCorrelogramK.Text, out k) || k < 0 || k > ts.Count - 1)
{
MessageBox.Show("Incorrect K variable for processing correlogram.");
return;
}
var cor = RandomExcerptChecker.GetCorrelogram(ts.Excerpt, k);
Series crlgrm = new Series("TS Correlogram")
{
ChartType = SeriesChartType.Column
};
dgCorrelation.Rows.Clear();
for (int i = 0; i < cor.Count; i++)
{
crlgrm.Points.AddXY(i, cor[i]);
var res = RandomExcerptChecker.TestCorrelation(cor[i], ts.Count, i);
dgCorrelation.Rows.Add(i,
string.Format("|{0:0.0000}|", res.Statistics),
res.IsRandom ? "≤" : ">",
res.Quantile.ToString("0.0000"));
}
chartTS.Series.Clear();
chartTS.Series.Add(crlgrm);
chartTS.ResetAutoValues();
}
